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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
First-Order Federated Bilevel Learning
AAAI 2025
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
AAAI 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence
AAAI 2025
Non-Convex Tensor Recovery from Local Measurements
AAAI 2025
Revisiting Projection-Free Online Learning with Time-Varying Constraints
AAAI 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
AAAI 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
AAAI 2025
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
AAAI 2025
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
AAAI 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
AAAI 2025
The Gradient of Algebraic Model Counting
AAAI 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
AAAI 2025
Calibrated Disambiguation for Partial Multi-label Learning
AAAI 2025
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
AAAI 2025
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
AAAI 2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
AAAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
AAAI 2025
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
AAAI 2025
Last-iterate Convergence in Regularized Graphon Mean Field Game
AAAI 2025
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
AAAI 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
AAAI 2025
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
AAAI 2025
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
AAAI 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Adaptive Dual Guidance Knowledge Distillation
AAAI 2025
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